Aerial Traffic Images

Overview

The Aerial Drone Traffic Dataset for Almaty City is a rich resource of annotated aerial footage captured by drones, focusing on traffic patterns and vehicle detection in urban environments. This dataset is specifically designed to support computer vision research and AI applications in traffic analysis, vehicle classification, and urban planning.

Dataset Highlights

• Total Images: 2,708 high-resolution drone images.

• Dataset Split:

  • Training Set: 1,710 images
  • Validation Set: 558 images
  • Test Set: 440 images

• Annotated Classes:
  The dataset features 83,986 annotations across 8 distinct vehicle categories:

  1. PMT: 67 annotations
  2. Bus: 6,715 annotations
  3. Car: 64,495 annotations
  4. Truck: 3,341 annotations
  5. Freight: 3,270 annotations
  6. Small Bus: 1,687 annotations
  7. Motorbike: 3,154 annotations
  8. Articulated Bus: 1,257 annotations

Key Features

1. High-Quality Annotations:
   Each image is meticulously labeled with 8 vehicle classes, making it an excellent resource for object detection and traffic analysis tasks.

2. Urban Traffic Focus:
   Captures real-world traffic patterns in Almaty City, offering valuable insights into urban transportation.

3. Versatile Applications:

   • Traffic monitoring and congestion analysis.
   • Vehicle classification for autonomous driving systems.
   • Urban planning and transportation studies.